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Cargill Senior Research Engineer in Plymouth, Minnesota

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 155,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

Job Purpose and Impact

The Senior Research Engineer will lead discussions with client domain experts, operations teams and other operations research engineers to gain direct insight on complex facility and process questions regarding material flow, personnel flow, utilization, space constraints and bottlenecks. In this role, you will develop and implement complex simulation and optimization models designed to answer questions on making the manufacturing and supply chains more effective. You will be responsible for complex project planning, model development and validation, deployment and long term support of the solutions.

Key Accountabilities

  • Develop, validate and deploy complex simulation and optimization models to drive strategic and tactical decisions.

  • Apply various modeling techniques to generate solutions to complex business problems such as resource planning, production planning, scheduling, facility location, portfolio optimization, supply chain management, pricing and revenue optimization.

  • Partner collaboratively with internal business stakeholders and project managers to transform business requirements into a business solution.

  • Compile simulation data, assumptions, calculations and results to provide insight to leadership using model results and reports.

  • Develop innovative, repeatable, business use cases and quickly develop prototypes to test these use cases.

  • Develop a library of standard modeling elements for ease of use in future models.

  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.

  • Other duties as assigned




Minimum Qualifications

  • Bachelor’s degree in a related field or equivalent experience

  • Minimum of four years of related work experience

  • Experience with object- oriented programming frameworks (for example, Python, Java, C++, or C#)

  • Experience with chemical process modelling and simulation.

Preferred Qualifications

  • Master's degree in operations research, industrial engineering, applied mathematics, statistics, computer science or related field

  • Experience in commercial optimization solvers

  • Experience applying lean principles and methods to develop standardized model and data frameworks in order to identify best practices in model development

Equal Opportunity Employer, including Disability/Vet.

At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill's long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law.

Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.

Notice to Recruiters and Staffing Agencies: Cargill, Inc. and subsidiaries (“Cargill”) have an internal recruiting department. Please review this notice.

US Employment Resources: Equal Opportunity Employer, including Disability/Vet.

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